OBJECTIVES: The primary aim of this study was to analyze quality of life (QOL) data from a Canadian population with type-2 diabetes in order to estimate the impact of a number of diabetes-related complications on utility measures of QOL. METHODS: The EuroQol EQ-5D instrument was administered 1,147 patients with type-2 diabetes. After controlling for age, gender and duration of diabetes, utilities were estimated by regressing the EQ-5D scores onto binary indicators for the presence of an event. The primary method of analysis was Ordinary Least Squares (OLS), and due to concerns over non-Normality, bootstrap standard errors (SE) were calculated. Both United States and United Kingdom scoring algorithms were used to estimate respective utility decrements. RESULTS: 1,143 participants were included in the analysis. Using the UK algorithm and the OLS model, the utility decrements were as follows: myocardial infarction (MI) = -0.081 (SE=0.026), amputation = -0.098 (SE=0.090), stroke = -0.067 (SE=0.036), and kidney failure = -0.158 (SE=0.073). The US algorithm produced the following values: MI = -0.059 (SE=0.017), amputation = -0.063 (SE=0.059), stroke = -0.046 (SE=0.023), and kidney failure = -0.102 (SE=0.047). Estimates of these effects based on both the Tobit and censored least absolute deviations estimator models were also reported and compared. CONCLUSIONS: This study used various regression models to estimate the decrements in EQ5D utility values associated with several important complications commonly experienced in patients with diabetes. The most significant impacts on QOL were associated with kidney failure and MI. The decrements estimated using US scoring algorithm were smaller than using UK scoring algorithm. These utility values can be used to assess the outcome of interventions that reduce these diabetes-related complications and will have a great impact on future economic evaluations of diabetes management strategies in Canada.